Health state evaluation method for energy-storage battery pack

A technology of health status and battery packs, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems that it is difficult to effectively reflect the dynamic change trend and characteristics of battery packs, decline, etc., and achieve high short-term prediction accuracy, simple operation, The effect of requiring less sample data

Active Publication Date: 2016-10-19
STATE GRID CORP OF CHINA +3
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AI Technical Summary

Problems solved by technology

[0005] In the prior art, most battery pack health status assessments use the capacity retention rate of the battery pack as an evaluation parameter, and use the percentage value of the current battery pack capacity to the initial battery pack capacity as the battery pack heal

Method used

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  • Health state evaluation method for energy-storage battery pack
  • Health state evaluation method for energy-storage battery pack
  • Health state evaluation method for energy-storage battery pack

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Embodiment Construction

[0033] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] like figure 1 as shown, figure 1 It is a schematic diagram of the change trend of battery / battery pack health parameters; according to figure 1 It can be seen that the battery generally shows a continuous and gentle downward trend during the service life, and changes within a relatively narrow fluctuation range, while the problematic battery / battery pack may have the same external performance as a healthy battery in the early stage of life. There is no difference, that is, batteries with potential safety hazards will not be detected through the previous external characteristic test, but will be reflected in the form of mutations after a period of use, as shown in the abnormal changes in the figure. It is caused by sudden and large changes in health parameters during the period.

[0035] like figure 2 as shown, figure ...

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Abstract

The invention provides a health state evaluation method for an energy-storage battery pack. The method comprises the following steps that I) historical data of the capacity of the energy-storage battery pack is obtained; II) a gray prediction algorithm is used to establish a prediction model for the present capacity of the energy-storage battery pack; III) the present of the energy-storage battery pack is predicted; IV) a neural network algorithm is trained is form a battery pack health state model; V) the predicted present capacity is input to the battery pack health state model to obtain a predicted internal resistance consistency coefficient; and VI) whether the energy storage battery pack is healthy is determined according to the internal resistance consistency coefficient. The method can fully adapt to high nonlinear characteristics of an electrochemical system of batteries, and has the advantages of low data operand, less sample data and high prediction precision.

Description

technical field [0001] The invention relates to a method in the technical field of secondary battery energy storage, in particular to a method for evaluating the health state of an energy storage battery pack. Background technique [0002] Battery energy storage is an important branch of today's energy storage technology development. Lithium-ion secondary battery technology is one of the most potential technologies in battery energy storage, with many advantages such as high energy density, long cycle life, and low self-discharge rate. . However, its safety has not been well resolved. In recent years, many safety accidents caused by power batteries for electric vehicles have aroused people's safety concerns about lithium-ion secondary battery energy storage. In order to prevent safety accidents in the lithium-ion secondary battery energy storage system, a lot of manpower and material resources have been invested in battery pack integration, system monitoring, and safety pro...

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Application Information

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IPC IPC(8): G01R31/36
Inventor 高飞杨凯贾鹏飞赵录兴胡晨李大贺刘皓王丽娜惠东来小康
Owner STATE GRID CORP OF CHINA
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